iPhone 16 Pro
Geekbench AI Score
4659
Single Precision Score
33449
Half Precision Score
45037
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 05:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
14675
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
18913
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18168
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23776
385.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9159
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152111
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292119
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
15406
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
21053
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
40530
481.6 IPS |
|
|
Face Detection (Q)
|
100% |
53579
636.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8202
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94423
727.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
152260
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
22183
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245870
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296216
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5587
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51508
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79856
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6175
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6127
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9377
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10501
181.5 IPS |
